Approximately classic judgement aggregation

This paper analyzes judgement aggregation problems in which a group of agents independently votes on a set of complex propositions subject to an interdependency constraint. It considers the issue of judgement aggregation from the perspective of approximation; that is, it generalizes the classic framework of judgement aggregation by relaxing the two main constraints assumed in the literature, Consistency and Independence. In doing so, it also considers mechanisms that only approximately satisfy these constraints, that is, satisfy them up to a small fraction of the inputs. The main question raised is whether the relaxation of these constraints significantly alters the class of aggregation mechanisms that meet the two (relaxed) constraints. The main result of this paper is that in the case of a subclass of a natural class of aggregation problems termed “truth-functional agendas,” the set of aggregation mechanisms that meet the constraints does not extend nontrivially when the constraints are relaxed. This paper also shows connections between this new general framework and the works on approximation of preference aggregation as well as the field of Property Testing and particularly linear testing of Boolean functions.

[1]  Klaus Nehring,et al.  Arrow’s theorem as a corollary , 2003 .

[2]  Klaus Nehring,et al.  Consistent judgement aggregation: the truth-functional case , 2008, Soc. Choice Welf..

[3]  Peter L. Hammer,et al.  Boolean Functions - Theory, Algorithms, and Applications , 2011, Encyclopedia of mathematics and its applications.

[4]  Ron Holzman,et al.  Aggregation of binary evaluations , 2010, J. Econ. Theory.

[5]  Mihir Bellare,et al.  Linearity testing in characteristic two , 1996, IEEE Trans. Inf. Theory.

[6]  Luc Bovens,et al.  Democratic Answers to Complex Questions – An Epistemic Perspective , 2006, Synthese.

[7]  Nathan Keller,et al.  A tight quantitative version of Arrow's impossibility theorem , 2010, ArXiv.

[8]  Ariel Rubinstein,et al.  On the Question "Who is a J?": A Social Choice Approach , 1998 .

[9]  Donald E. Campbell,et al.  T or 1-T , 1993 .

[10]  Donald E. Campbell,et al.  t or 1 minus t. That Is the Trade-Off , 1993 .

[11]  P. Pettit Deliberative Democracy and the Discursive Dilemma , 2001 .

[12]  Piotr Faliszewski,et al.  Distance rationalization of voting rules , 2015, Soc. Choice Welf..

[13]  Fan Chung Graham,et al.  Internet and Network Economics, Third International Workshop, WINE 2007, San Diego, CA, USA, December 12-14, 2007, Proceedings , 2007, WINE.

[14]  Ilan Nehama,et al.  Approximate Judgement Aggregation , 2011, WINE.

[15]  Sanguthevar Rajasekaran Handbook of randomized computing , 2001 .

[16]  Ronald de Wolf,et al.  A Brief Introduction to Fourier Analysis on the Boolean Cube , 2008, Theory Comput..

[17]  F. Dietrich,et al.  Judgment Aggregation By Quota Rules , 2007 .

[18]  Philippe Mongin,et al.  Factoring out the impossibility of logical aggregation , 2008, J. Econ. Theory.

[19]  Christian List,et al.  The probability of inconsistencies in complex collective decisions , 2005, Soc. Choice Welf..

[20]  Manuel Blum,et al.  Self-testing/correcting with applications to numerical problems , 1990, STOC '90.

[21]  Madhu Sudan,et al.  Property Testing via Set-Theoretic Operations , 2011, ICS.

[22]  B. Bollobás Combinatorics: Set Systems, Hypergraphs, Families of Vectors and Combinatorial Probability , 1986 .

[23]  Donald E. Campbell,et al.  Information and preference aggregation , 2000, Soc. Choice Welf..

[24]  K. Arrow A Difficulty in the Concept of Social Welfare , 1950, Journal of Political Economy.

[25]  S. Shapiro,et al.  Mathematics without Numbers , 1993 .

[26]  E. Fischer THE ART OF UNINFORMED DECISIONS: A PRIMER TO PROPERTY TESTING , 2004 .

[27]  Christian List,et al.  Introduction to Judgment Aggregation , 2010, J. Econ. Theory.

[28]  Ron Holzman,et al.  Aggregation of non-binary evaluations , 2010, Adv. Appl. Math..

[29]  G. Thompson,et al.  The Theory of Committees and Elections. , 1959 .

[30]  Carl Andreas Claussen,et al.  The Discursive Dilemma in Monetary Policy , 2010 .

[31]  Gil Kalai,et al.  A Fourier-theoretic perspective on the Condorcet paradox and Arrow's theorem , 2002, Adv. Appl. Math..

[32]  L. Kornhauser Modeling Collegial Courts. II. Legal Doctrine , 1992 .

[33]  Noam Nisan,et al.  Elections Can be Manipulated Often , 2008, 2008 49th Annual IEEE Symposium on Foundations of Computer Science.

[34]  C. List,et al.  Aggregating Sets of Judgments: An Impossibility Result , 2002, Economics and Philosophy.

[35]  Oded Goldreich,et al.  Combinatorial property testing (a survey) , 1997, Randomization Methods in Algorithm Design.

[36]  Lirong Xia,et al.  Sequential composition of voting rules in multi-issue domains , 2009, Math. Soc. Sci..

[37]  Christian List,et al.  Judgment aggregation: a short introduction , 2012 .

[38]  Ryan O'Donnell,et al.  Some topics in analysis of boolean functions , 2008, STOC.

[39]  Ron Holzman,et al.  Aggregation of binary evaluations for truth-functional agendas , 2009, Soc. Choice Welf..

[40]  Madhu Sudan Invariance in Property Testing , 2010, Electron. Colloquium Comput. Complex..

[41]  W. J. Thron,et al.  Encyclopedia of Mathematics and its Applications. , 1982 .

[42]  Peter C. Fishburn,et al.  Aggregation of equivalence relations , 1986 .

[43]  Gabriella Pigozzi,et al.  Judgment aggregation rules based on minimization , 2011, TARK XIII.

[44]  B. Chapman,et al.  Rational Aggregation , 2002 .

[45]  Franz Dietrich,et al.  Judgment aggregation: (im)possibility theorems , 2006, J. Econ. Theory.

[46]  Christian List,et al.  A Model of Path-Dependence in Decisions over Multiple Propositions , 2002, American Political Science Review.

[47]  Alan D. Miller,et al.  Group identification , 2008, Games Econ. Behav..

[48]  D. Monderer,et al.  Variations on the shapley value , 2002 .

[49]  C. List,et al.  Judgment aggregation: A survey , 2009 .

[50]  Gabriella Pigozzi,et al.  Belief merging and the discursive dilemma: an argument-based account to paradoxes of judgment aggregation , 2006, Synthese.

[51]  Peter L. Hammer,et al.  Boolean Functions: Fundamental concepts and applications , 2011 .

[52]  Christian List,et al.  Judgement Aggregation: A Survey , 2009, The Handbook of Rational and Social Choice.

[53]  Christian List,et al.  STRATEGY-PROOF JUDGMENT AGGREGATION* , 2005, Economics and Philosophy.

[54]  Lawrence G. Sager,et al.  Unpacking the Court , 1986 .

[55]  Ariel D. Procaccia,et al.  Socially desirable approximations for Dodgson's voting rule , 2010, EC '10.

[56]  Elchanan Mossel,et al.  A quantitative Arrow theorem , 2009, 0903.2574.

[57]  P. Fishburn,et al.  Algebraic aggregation theory , 1986 .

[58]  Eyal Winter Chapter 53 The shapley value , 2002 .

[59]  Piotr Faliszewski,et al.  On the role of distances in defining voting rules , 2010, AAMAS.

[60]  M. Satterthwaite Strategy-proofness and Arrow's conditions: Existence and correspondence theorems for voting procedures and social welfare functions , 1975 .

[61]  Christian List,et al.  Arrow’s theorem in judgment aggregation , 2005, Soc. Choice Welf..

[62]  A. Gibbard Manipulation of Voting Schemes: A General Result , 1973 .

[63]  C. Puppe,et al.  The Handbook of Rational and Social Choice , 2009 .

[64]  Panos M. Pardalos,et al.  Randomization methods in algorithm design : DIMACS workshop, December 12-14, 1997 , 1999 .